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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 4 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 4 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
ISSAC
2007
Springer
106views Mathematics» more  ISSAC 2007»
15 years 4 months ago
Numerical techniques for computing the inertia of products of matrices of rational numbers
Consider a rational matrix, particularly one whose entries have large numerators and denominators, but which is presented as a product of very sparse matrices with relatively smal...
John P. May, B. David Saunders, David Harlan Wood
LION
2007
Springer
113views Optimization» more  LION 2007»
15 years 4 months ago
Limited-Memory Techniques for Sensor Placement in Water Distribution Networks
Abstract. The practical utility of optimization technologies is often impacted by factors that reflect how these tools are used in practice, including whether various real-world c...
William E. Hart, Jonathan W. Berry, Erik G. Boman,...
SEMWEB
2007
Springer
15 years 3 months ago
Structure Preserving Semantic Matching
Abstract The most common matching applications, e.g., ontology matching, focus on the computation of the correspondences holding between the nodes of graph structures (e.g., concep...
Fausto Giunchiglia, Mikalai Yatskevich, Fiona McNe...